Not a benchmark table. This puts pricing, context, interface fit, and key visibility into one decision card.
复杂推理和工具链场景常用旗舰。
适合推理型产品化调用和代理场景。
This is an internal OpenAI comparison, so the main question is tier, cost, context, and capability rather than provider switching.
On the listed price snapshot, o4-mini is cheaper on combined input and output, but real routing, discounts, and limits still matter.
When context is similar, compare output quality, API stability, limits, and actually callable models first.
Do not start with which model is absolutely stronger. Start with the boundary: cost, context, speed, quality, ecosystem, or supply stability.
If you already hold a key, the valuable check is provider identity, callable models, and whether balance, limits, or subscription status are visible.
Commercially, do not look at model names alone. Combine price, limits, region, upstream stability, and ongoing monitoring.
